zhuyichen's repositories

ProxylessNAS

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware. https://arxiv.org/abs/1812.00332

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ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

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LanczosNetwork

Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark

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dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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chainercv

ChainerCV: a Library for Deep Learning in Computer Vision

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scikit-learn

scikit-learn: machine learning in Python

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gcForest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

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TSAD-Evaluator

Intel Labs open source repository for time series anomaly detection evaluator

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medicaltorch

A medical imaging framework for Pytorch

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s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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LovaszSoftmax

Code for the Lovász-Softmax loss (CVPR 2018)

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waveglow

A Flow-based Generative Network for Speech Synthesis

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pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

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FloWaveNet

A Pytorch implementation of "FloWaveNet: A Generative Flow for Raw Audio"

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horovod

Distributed training framework for TensorFlow, Keras, and PyTorch.

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pymc-learn

pymc-learn: Practical probabilistic machine learning in Python

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RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

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dcgan_code

Deep Convolutional Generative Adversarial Networks

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ad_examples

A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.

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60_Days_RL_Challenge

Learn Deep Reinforcement Learning in Depth in 60 days

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Variational-Lstm-Autoencoder

Lstm variational auto-encoder API for time series anomaly detection and features extraction

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Metis

Metis is a learnware platform in the field of AIOps.

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tslearn

A machine learning toolkit dedicated to time-series data

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s-vae-tf

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

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pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

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awesome-knowledge-distillation

Awesome Knowledge Distillation

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Curve

An Integrated Experimental Platform for time series data anomaly detection.

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